Note: The job is a remote job and is open to candidates in USA. The confidential client is seeking a Principal AI Engineer to design and deliver production-grade AI applications integrated with clinical and enterprise workflows. The role focuses on building secure, scalable AI solutions using Google Cloud Platform, Vertex AI, large language models, and agentic AI architectures, while providing technical leadership and client-facing guidance from prototype through production.
Responsibilities
- Design and build agentic AI systems that orchestrate multi-step workflows, utilize tools, retrieve context, and support human-in-the-loop processes for clinical and operational use cases
- Develop AI solutions using Google Cloud technologies including Vertex AI, Gemini models, Vertex AI Agent Builder, Vertex AI Search, Document AI, BigQuery, and related services
- Build LLM-powered pipelines to extract, summarize, and structure clinical notes and unstructured healthcare documents
- Create retrieval-augmented generation (RAG) solutions that securely connect to clinical content, structured data, EHR platforms, document repositories, and operational systems
- Establish CI/CD and MLOps practices including infrastructure-as-code, automated testing, release management, observability, and environment management for AI applications
- Implement authentication, authorization, RBAC, data access controls, logging, auditing, and governance controls to support regulated healthcare environments
- Define and execute evaluation strategies for agent performance, retrieval relevance, prompt quality, hallucination risk, latency, reliability, and response quality
- Serve as a hands-on technical advisor, guiding architecture decisions, resolving implementation challenges, and driving AI solutions from prototype to production
- Mentor team members and contribute reusable AI design patterns, reference architectures, DevOps templates, and delivery accelerators
Skills
- • 6+ years of experience in software engineering, cloud engineering, AI engineering, enterprise application development, or solution architecture
- • Hands-on experience designing and building agentic AI applications, including orchestration, planning, tools, memory, multi-step workflows, RAG, and human-in-the-loop controls
- • Strong experience with Vertex AI and the broader Google Cloud AI ecosystem, including Gemini models, Vertex AI Agent Builder, Vertex AI Search, Document AI, BigQuery, or related services
- • Strong proficiency in technologies commonly used for AI application development, including Python, TypeScript, Go, FastAPI, LangChain, LangGraph, or similar frameworks
- • Experience with GitHub Actions, Cloud Build, CI/CD pipelines, Terraform, containers, GKE, Cloud Run, APIs, monitoring, logging, environment promotion, and production release management
- • Experience integrating AI solutions with clinical and operational systems, including EHR platforms, clinical documentation environments, HL7, FHIR, and handling PHI within regulated healthcare environments
- • Understanding of AI evaluation methodologies, prompt and version management, automated testing, telemetry, tracing, monitoring, model behavior analysis, and operational support practices
- • Strong communication skills with the ability to translate technical tradeoffs into practical recommendations for executive, clinical, security, platform, and operations stakeholders
- • Occasional onsite attendance may be requested by the client
- • Google Cloud Professional Machine Learning Engineer certification
- • Google Cloud Professional Cloud Architect certification
- • Generative AI Leader certification or other relevant Google Cloud AI certifications
- • Google Cloud Professional DevOps Engineer certification
- • Kubernetes (CKA), Terraform, GitHub, or other cloud-native engineering certifications
- • HIPAA, Responsible AI, or healthcare data and AI governance-related certifications
- • Nashville, TN preferred; remote candidates will be considered, though local candidates are preferred
Benefits
- A MEC (Minimum Essential Coverage) plan that encompasses Medical, Vision, Dental, 401K, and EAP (Employee Assistance Program) services.
- Remote candidates will be considered, though local candidates are preferred.
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